einsteinF: Einstein Functions

In pracma: Practical Numerical Math Functions

Einstein Functions

Description

Einstein functions.

Usage

einsteinF(d, x)

Arguments

x	numeric or complex vector.
d	parameter to select one of the Einstein functions E1, E2, E3, E4.

Details

The Einstein functions are sometimes used for the Planck-Einstein oscillator in one degree of freedom.

The functions are defined as:

E1(x) = \frac{x^2 e^x}{(e^x - 1)^2}

E2(x) = \frac{x}{e^x - 1}

E3(x) = ln(1 - e^{-x})

E4(x) = \frac{x}{e^x - 1} - ln(1 - e^{-x})

E1 has an inflection point as x=2.34694130....

Value

Numeric/complex scalar or vector.

Examples

## Not run: 
x1 <- seq(-4, 4, length.out = 101)
y1 <- einsteinF(1, x1)
plot(x1, y1, type = "l", col = "red",
             xlab = "", ylab = "", main = "Einstein Function E1(x)")
grid()

y2 <- einsteinF(2, x1)
plot(x1, y2, type = "l", col = "red",
             xlab = "", ylab = "", main = "Einstein Function E2(x)")
grid()

x3 <- seq(0, 5, length.out = 101)
y3 <- einsteinF(3, x3)
plot(x3, y3, type = "l", col = "red",
             xlab = "", ylab = "", main = "Einstein Function E3(x)")
grid()

y4 <- einsteinF(4, x3)
plot(x3, y4, type = "l", col = "red",
             xlab = "", ylab = "", main = "Einstein Function E4(x)")
grid()
## End(Not run)

pracma documentation built on Nov. 10, 2023, 1:14 a.m.